AS
Abhay Deep Seth
STME SVKM NMIMS Indore, Mukesh Patel School of Technology Management and Engineering - Shirpur Campus, Indian Institute Of Technology, SGSITS, IPS Academy Institute of Engineering and Science
About
Abhay Deep Seth has been a PhD Research Scholar (Department of EECS) at IIT Bhilai, since 2018. He has received an M.E. degree in Computer Engineering at SGSITS Indore from RGTU. He has teaching experience of 4 years. His research interests include IDS, formal verification, security, ad hoc network, etc.
Employment
-
STME SVKM NMIMS Indore Assistant Professor2023 - Present
-
Mukesh Patel School of Technology Management and Engineering - Shirpur Campus Asst. Professor2016 - 2018
-
IPS Academy Institute of Engineering and Science Asst. Professor2015 - 2016
-
Swami College Of Engineering Assistant Professor2014 - 2015
Education
-
Indian Institute Of Technology PhD2018 - 2024
-
SGSITS M.E.2011 - 2014
-
RKDF Institute of Science and Technology B.E.2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Blockchain‐Enabled Risk‐Aware RPL With Real‐Time Rank Evaluation and Trust‐Weighted Consensus for Secure IoT Routing Save
- Multiclass vulnerability and clone detection in Ethereum smart contracts using Block-wise Abstract Syntax Tree based Federated Graph Neural Networks Save
- A review of the security of routing mechanisms for WSN-IoT Save
- NHAPMAD: Novel hybrid approaches for privacy-preserved multiple attacks detection Save
- DADCNF: Diagnoser design for Duplicate Address Detection threat using Conjunctive Normal Form Save
- LDES: detector design for version number attack detection using linear temporal logic based on discrete event system Save
- Diagnoser design strategy for discrete event system: Case study of neutralization system Save
- Mitigation Technique against Network Isolation Attack on RPL in 6LoWPAN Network Save
- LDES: Detector Design for Version Number Attack Detection using Linear Temporal Logic based on Discrete Event System Save
- LDES: Detector Design for Version Number Attack Detection using Linear Temporal Logic based on Discrete Event System Save